PII_type: EMAIL

Exploration_sql: Based on the schema of the available tables, there are no columns that directly indicate the presence of email addresses. To search for email addresses, we need to explore text fields such as messages, chats, or other textual data. Let's search for email addresses in the text fields of the tables.

PII_Prompt: a unique identifier for a destination to which electronic mail (email) can be sent and received over the internet; examples include jane.doe@example.com, john.smith@provider.net, dev-team@startup.io, and user.name+label@domain.org


PII_type: PHONE

Exploration_sql:
The databases contain the following tables and columns:
1. Table: android_metadata
   - Column: locale (TEXT)

2. Table: journal
   - Columns: _id (INTEGER), path (TEXT), size (INTEGER), locked_size (INTEGER)

3. Table: journal_entry
   - Columns: _id (INTEGER), journal_id (INTEGER), key (TEXT), sequence_number (INTEGER), value_count (INTEGER), status (INTEGER), last_update_time (INTEGER), last_read_time (INTEGER), lock_count (INTEGER), total_size (INTEGER), value_sizes (BLOB), expiration (INTEGER), last_consumed_time (INTEGER), metadata (BLOB)

To find US phone numbers in the database, we need to search through text columns that may contain phone numbers. Let's proceed with searching for US phone numbers in the relevant text columns.
SELECT locale FROM android_metadata WHERE locale REGEXP '\+?[0-9]{1,4}[- .]?\(?[0-9]{1,3}?\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'
UNION ALL
SELECT path FROM journal WHERE path REGEXP '\+?[0-9]{1,4}[- .]?\(?[0-9]{1,3}?\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'
UNION ALL
SELECT key FROM journal_entry WHERE key REGEXP '\+?[0-9]{1,4}[- .]?\(?[0-9]{1,3}?\)?[- .]?[0-9]{1,4}[- .]?[0-9]{1,4}[- .]?[0-9]{1,9}'


PII_type: USERNAME

Exploration_sql:
Based on the schema of the tables in the database, the following columns may contain usernames:
- android_metadata: No relevant columns for usernames.
- journal: key (TEXT)
- journal_entry: No relevant columns for usernames.

You can use the following SQL query to search for possible usernames in the 'key' column of the 'journal' table:
```sql
SELECT key FROM journal WHERE key REGEXP '\\b[a-zA-Z][a-zA-Z0-9._-]{2,51}\\b'

PII_Prompt: a username is a short textual identifier chosen by a user to represent their account or public handle within an application or service it is stored as plain text contains no whitespace does not include a domain component and is intended for human recognition rather than internal system uniqueness


__bytes_b64__: AAAAAAAARXg=

__bytes_b64__: AAAAAAAAQWg=

__bytes_b64__: AAAAAAAARnU=

__bytes_b64__: AAAAAAAjWXU=

Exploration_sql:
Based on the database schema, the tables and columns that could potentially contain person names are:
1. Table: journal_entry
   - Columns: key, value_sizes

To search for person names in these columns, you can use the following SQL query:
```sql
SELECT key FROM journal_entry WHERE key REGEXP '[A-Za-z][A-Za-z\s\.\-]{1,50}'
UNION ALL
SELECT value_sizes FROM journal_entry WHERE value_sizes REGEXP '[A-Za-z][A-Za-z\s\.\-]{1,50}'

PII_Prompt: a loosely structured human name-like strings that typically consist of a first name, a first name and a last name, and may also include middle names, initials, prefixes (e.g., Mr., Dr.), and suffixes (e.g., Jr., Sr.)


Exploration_sql: Based on the schema of the available tables, there are no columns that directly indicate the presence of US postal addresses. To further explore the possibility of finding US postal addresses, additional information or specific tables/columns related to messages, chats, or other text fields may be required.

PII_Prompt: a US postal address is a street-level mailing location in the United States, commonly appearing as a street name and suffix (e.g., 'Market St') optionally with a street number (e.g., '1500 Market St'), unit, city/state, ZIP, or a PO Box (e.g., 'P.O. Box 123')